File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

이승준

Lee, Seung Jun
Nuclear Safety Assessment and Plant HMI Evolution Lab.
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

A quantitative assessment framework for cyber-attack scenarios on nuclear power plants using relative difficulty and consequence

Author(s)
Park, Jong WooLee, Seung Jun
Issued Date
2020-07
DOI
10.1016/j.anucene.2020.107432
URI
https://scholarworks.unist.ac.kr/handle/201301/32041
Fulltext
https://www.sciencedirect.com/science/article/pii/S0306454920301304?via%3Dihub
Citation
ANNALS OF NUCLEAR ENERGY, v.142, pp.107432
Abstract
Digital instrumentation and control (I&C) systems have been replacing analog I&C systems in nuclear power plants (NPPs) on account of the beneficial functions digital systems provide. As a result, NPP risks have been centralized into the digital I&C systems, with the issue of cyber-attack thus emerging as one of the new threats. To achieve more effective cyber security, it is necessary to evaluate the risk of cyber-attack quantitatively. This work proposes a quantitative assessment framework to evaluate NPP risk due to cyber-attack scenarios. This framework evaluates the risk by defining the difficulty and consequence of a cyber-attack, for which the assessment methods are based on Bayesian belief network and probabilistic safety assessment methods, respectively. Application of the framework to several possible cyber-attack scenarios quantitatively assessed the difficulty and consequence of the scenarios, thereby providing risk information. It is expected that application of the proposed framework can enhance cyber security. (C) 2020 Elsevier Ltd. All rights reserved.
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
ISSN
0306-4549
Keyword (Author)
Cyber securityDigital I&C systemNuclear power plantProbabilistic safety assessmentBayesian belief networkQuantitative assessment framework
Keyword
SECURITY RISK-ASSESSMENTC SYSTEMS

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.